Forsy

Forsy provides infrastructure specifically designed to capture and manage data from AI agent workflows. It operates as a data layer that tracks what agents do in real time, creating a detailed record of their actions and decisions. This system captures information across various domains and task types, from routine operations to complex specialized workflows, giving developers comprehensive visibility into how their agents perform.

The platform distinguishes itself by capturing data natively as agents work, rather than reconstructing it after the fact. This approach ensures higher fidelity and accuracy in the recorded information. Forsy also includes an agent data economy where teams can discover, license, and sell authentic workflow data. This marketplace aspect allows organizations to leverage real agent performance data from diverse sources to improve their own systems.

Forsy is particularly valuable for teams focused on building more capable and reliable AI agents. Developers and research teams can use the captured data to analyze agent behavior, identify patterns, and train improved versions of their systems. Enterprises running multiple agents can benefit from the unified data engine that works across their entire agent stack, providing consistent monitoring and data collection regardless of the specific agents or platforms in use.